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has been used in LOWESS and other local regression software; this combines higher-order differentiability with a high MSE efficiency.
One criticism of weight functions with bounded support is that they can lead to numerical problems (i.e. an unstable or singular design matrix) when fitting in regions with sparse data. For this reason, some authors{{who}} choose to use the Gaussian kernel, or others with unbounded support.
===Choice of fitting criterion===
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